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DS & BI Lead Connected Brewer

Job in Johannesburg, 2000, South Africa
Listing for: Heineken
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Engineering
Job Description & How to Apply Below

Immediate Superior:
Manager AI Development

Location:

Stellenboch, Western Cape
Function:
Digital&Technology
Sub Function:
Data Science Commerce
Type of

Contract:

Permanent
Reference Number: 164818
Closing Date: 30/09/2026

As a
DS-BILead within HEINEKEN’s D&A Product Organisation, you are responsible for leading the DS/BI Development / Advanced Analytics capabilities within the Smart Brewery ecosystem.

Embedded within the D&A Product, you work closely with Product Leads, Business Analysts, Data Engineers, and Developers to ensure the delivery of high-quality, scalable analytical products and advanced analytics solutions
. You act as the technical and capability lead for
BI Developers and Data Scientists
, guiding how data is transformed into actionable insights, robust dashboards, and advanced analytical models.

You play a key role in shaping standards, best practices, and ways of working across analytics and data science, ensuring consistency, scalability, and business value delivery at global scale.

A key part of your role is reinforcing Agile Ways of Working
, supporting squads with expertise, enabling high-quality delivery, and driving continuous improvement across these capabilities.

Key Responsibilities 1. Capability Leadership & Strategy
  • Define and evolve the DA/BI Development and Data Science / Advanced Analytics capability vision within
  • the D&A Product together with the D&A Product Owner and Product Leads
  • Establish and promote
    best practices for data modelling, dashboarding, and advanced analytics.
  • Drive standardisation and reuse of
    global analytical assets, KPIs, and models
    .
  • Ensure alignment with the D&A roadmap and Smart Brewery vision.
  • Identify opportunities to leverage
    advanced analytics and data science to unlock business value.
2. Product Discovery & Requirements
  • Provide guidance on translating business and analytical needs into data models, KPIs, dashboards, and advanced analytical use cases
    .
  • Support feasibility assessments for new use cases, including
    data availability, modelling complexity, and analytical approach
    .
  • Collaborate with Product Leads and Business Analysts to shape a
    clear, prioritised analytical backlog
    .
  • Bring structure and technical insight to complex analytical and data science challenges.
3. Stakeholder Engagement
  • Act as a key partner for Product Leads and stakeholders on analytics and data science topics
    .
  • Translate complex analytical outputs into
    clear, actionable insights for business users.
  • Facilitate alignment on KPIs, modelling logic, and analytical approaches across squads and regions.
  • Act as the
    voice of DA/BI and Data Science
    , ensuring solutions deliver meaningful business value.
4. Data & Analytics Enablement
  • Guide the design and development of scalable dashboards, semantic models, and analytical datasets (DA/BI domain).
  • Ensure consistency in
    data modelling, KPI definitions, and visualisation standards across products.
  • Drive adoption of
    advanced analytics techniques
    , including statistical analysis and machine learning.
  • Collaborate with Data Engineers to address
    data quality, availability, and structural gaps
    .
  • Promote reuse of analytical components to enable global scalability.
5. Product Delivery & Value Realisation
  • Provide expert support and direction to squads during development and delivery.
  • Ensure DA/BI and data science solutions meet
    quality, performance, and scalability standards
    .
  • Support testing, validation, and monitoring of dashboards, datasets, and models.
  • Ensure analytical products are delivering
    measurable business value across breweries.
6. Supporting Agile Ways of Working
  • Support teams in breaking down DA/BI and data science work into clear, testable backlog items
    .
  • Ensure analytical work meets the
    Definition of Ready before sprint commitment.
  • Actively contribute to Agile ceremonies:
    • Sprint…
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